Marc Aumercier

1.8k citations
44 papers · 1.6k · h-index 20

Impact in

Papers in

    • Ubiquitin and proteasome pathways 6
    • Genomics and Chromatin Dynamics 5
    • DNA Repair Mechanisms 4
    • RNA and protein synthesis mechanisms 4
    • PARP inhibition in cancer therapy 5
    • Cancer-related Molecular Pathways 4

Marc Aumercier

41 papers receiving 1.5k citations

Peers

Marc Aumercier
Comparison fields: 5 of 103
  • Immunology 427
  • Infectious Diseases 325
  • Molecular Medicine 86
  • Molecular Biology 653
  • Epidemiology 283
Replace Jeng‐Pyng Shaw with:
Jeng‐Pyng Shaw United States
Fumiko Kirikae Japan
Fernando Rock United States
Jean‐Michel Bruneau France
Priyanka Verma India
Susanne Schroeder United Kingdom
Gary Woodnutt United States
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Xiao He China
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Citations per field
00.5×1.5×2.1×
Jeng‐Pyng Shaw · 1×
Citations per year

Countries citing papers authored by Marc Aumercier

Since Specialization
Citations

This map shows the geographic impact of Marc Aumercier's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marc Aumercier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Aumercier more than expected).

Fields of papers citing papers by Marc Aumercier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc Aumercier. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marc Aumercier. The network helps show where Marc Aumercier may publish in the future.

Co-authors

The 25 scholars most cited alongside Marc Aumercier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marc Aumercier Line = papers co-authored together Marc Aumercier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001214
2 2001203
3 2009144
4 2003136
5 2000108
6 200277
7 199276
8 202047
9 199545
10 199442
11 200940
12 199935
13 199833
14 199032
15 200831
16 201331
17 200930
18 199428
19 200626
20 199424

About Marc Aumercier

Marc Aumercier is a scholar working on Molecular Biology, Oncology, Epidemiology, Public Health, Environmental and Occupational Health and Immunology, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Research on Leishmaniasis Studies (6 papers), PARP inhibition in cancer therapy (5 papers), Genomics and Chromatin Dynamics (5 papers), DNA Repair Mechanisms (4 papers), Trypanosoma species research and implications (4 papers), Cancer-related Molecular Pathways (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Immunology (427 citations), Infectious Diseases (325 citations), Molecular Medicine (86 citations), Molecular Biology (653 citations) and Epidemiology (283 citations). Marc Aumercier has collaborated with scholars based in France, Morocco and Belgium. Frequent co-authors include David Baillat, Camille Locht, Arnaud Scherpereel, Philippe Lassalle, David Béchard, André‐Bernard Tonnel, Thibaut Gentina, Agnès Bégué, Alain R. Baulard and Christian Sergheraert. Their work appears in journals such as Biochemical and Biophysical Research Communications, Oncogene, Journal of Biological Chemistry, Biochemical Journal and Antimicrobial Agents and Chemotherapy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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